In this module, we will guide you through AWS’s suite of security tools, designed to protect your resources, applications, and data. You will learn to use AWS KMS for encryption, AWS WAF and Shield for application protection, and GuardDuty for continuous threat monitoring. The module also covers services like Amazon Macie and Inspector for sensitive data management and vulnerability analysis.

In this module, we will dive into AWS’s management and governance tools. You’ll learn how to use AWS Systems Manager for automation and configuration management, while Amazon CloudWatch and CloudTrail provide the monitoring and logging solutions needed for operational excellence. Additionally, you will discover how AWS Config and Trusted Advisor can help ensure compliance and optimize resource management.

In this module, we will introduce you to AWS’s machine learning services, covering a range of tools to add AI capabilities to your applications. You will learn to integrate Amazon Rekognition for image and video analysis, Polly for text-to-speech, and Amazon Transcribe for speech-to-text. Additionally, we will guide you through building, training, and deploying machine learning models using Amazon SageMaker, and creating personalized user experiences with Amazon Personalize and Lex.

In this module, we will focus on AWS's billing, pricing, and cost optimization tools. You’ll learn to use AWS Cost Explorer and Budgets for managing and tracking your spending, while AWS Cost Allocation Tags help you organize and allocate costs across your environment. We’ll also explore AWS License Manager to help optimize and manage your software licenses.

In this module, we will introduce the AWS Well-Architected Framework, which provides a set of best practices for designing secure, reliable, and efficient cloud architectures. You’ll learn to use the AWS Well-Architected Tool to evaluate and improve your workloads, ensuring they adhere to AWS’s guidelines for optimal performance and cost management.